Instructions to use lifecont/Llava_Am_chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lifecont/Llava_Am_chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EthioNLP/Amharic-llama-base-model") model = PeftModel.from_pretrained(base_model, "lifecont/Llava_Am_chatbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f239a5fe918acb7a8292fa2e9ed63ed6362414a45b29c386fccd0992236154d2
- Size of remote file:
- 134 MB
- SHA256:
- d80a4291d3ecd07464e41e602ffb4304f978b3c313362f352a740b53110bf85b
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